Novel Approaches to the Determination of Archie Parameters II: Fuzzy Regression Analysis

Chen, H.C. (The University of Alabama) | Fang, J.H. (The University of Alabama) | Kortright, M.E. (The University of Alabama) | Chen, D.S. (The University of Alabama)



Fuzzy regression provides a means for fitting data when the relationship between the independent and dependent variables is vague, or data are imprecise, or the amount of data is insufficient. In this paper, we use it to determine the three parameters of the Archie equation from core resistivity measurements. First, we outline the methodology of fuzzy regression analysis. Next, we show the minimization of a fuzzy objective function by making use of the simplex method described in the previous paper. Last, we illustrate the approach with the same example used in the previous paper.